Shiqi Jiang

According to our database, Shiqi Jiang authored at least 34 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices.

Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu

IEEE Trans. Mob. Comput., September, 2025

AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation.

Xin Ding, Jianyu Wei, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Hao Wu, Fucheng Jia, Liang Mi, Yuxuan Yan, Weijun Wang, Yunxin Liu, Zhibo Chen, Ting Cao

CoRR, September, 2025

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones.

Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren

CoRR, September, 2025

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration.

Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu

CoRR, September, 2025

iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols.

Xikai Sun, Fan Dang, Shiqi Jiang, Jingao Xu, Kebin Liu, Xin Miao, Zihao Yang, Weichen Zhang, Haimo Lu, Yawen Zheng, Yunhao Liu

CoRR, July, 2025

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM.

Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu

CoRR, May, 2025

Empowering Agentic Video Analytics Systems with Video Language Models.

Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu

CoRR, May, 2025

Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash.

Fucheng Jia, Zewen Wu, Shiqi Jiang, Huiqiang Jiang, Qianxi Zhang, Yuqing Yang, Yunxin Liu, Ju Ren, Deyu Zhang, Ting Cao

CoRR, April, 2025

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment.

Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu

CoRR, March, 2025

Anatomizing Deep Learning Inference in Web Browsers.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu

ACM Trans. Softw. Eng. Methodol., February, 2025

AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation.

Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong, Ting Chen, Yubo Yang, Zhimeng Yin, Yunxin Liu

IEEE Trans. Mob. Comput., February, 2025

Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment.

Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

2024

Large-scale Video Analytics with Cloud-Edge Collaborative Continuous Learning.

Ya Nan, Shiqi Jiang, Mo Li

ACM Trans. Sens. Networks, January, 2024

The Potential and Value of AI Chatbot in Personalized Cognitive Training.

Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu

CoRR, 2024

Advancing Multi-Modal Sensing Through Expandable Modality Alignment.

Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu

CoRR, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu

CoRR, 2024

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

AutoDroid: LLM-powered Task Automation in Android.

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Hybrid SLM and LLM for Edge-Cloud Collaborative Inference.

Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

CoRR, 2023

Empowering LLM to use Smartphone for Intelligent Task Automation.

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

CoRR, 2023

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments.

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

CoRR, 2023

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors.

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments.

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Yaqin Zhang, Yunxin Liu

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022

Turbo: Opportunistic Enhancement for Edge Video Analytics.

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices.

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

2021

Flexible high-resolution object detection on edge devices with tunable latency.

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

2020

Profiling and optimizing deep learning inference on mobile GPUs.

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020

2019

Memento: An Emotion-driven Lifelogging System with Wearables.

Shiqi Jiang, Zhenjiang Li, Pengfei Zhou, Mo Li

ACM Trans. Sens. Networks, 2019

2017

A Participatory Urban Traffic Monitoring System: The Power of Bus Riders.

Zhidan Liu, Shiqi Jiang, Pengfei Zhou, Mo Li

IEEE Trans. Intell. Transp. Syst., 2017

2016

Poster abstract: Emotion-driven lifelogging with wearables.

Shiqi Jiang, Pengfei Zhou, Zhenjiang Li, Mo Li

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015

Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information.

Shiqi Jiang, Pengfei Zhou, Mo Li

Int. J. Distributed Sens. Networks, 2015

Urban Traffic Monitoring with the Help of Bus Riders.

Pengfei Zhou, Shiqi Jiang, Mo Li

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014

Demo: instant phone attitude estimation and its applications.

Pengfei Zhou, Weiming Chan, Shiqi Jiang, Jiajue Ou, Mo Li, Guobin Shen

Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014